9783030606169 - a machine learning based model of boko haram di subrahmanian, v. s.; pulice, chiara; brown, james f.; bonen-clark, jacob (9 risultati)
A Machine Learning Based Model of Boko Haram (Terrorism, Security, and Computation)
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
Lingua: Inglese
Editore: Springer, 2021
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
A Machine Learning Based Model of Boko Haram (Terrorism, Security, and Computation)
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
Lingua: Inglese
Editore: Springer, 2021
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Altre immaginiLingua: Inglese
Editore: Springer, 2021
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. A Machine Learning Based Model of Boko Haram | V. S. Subrahmanian (u. a.) | Taschenbuch | Terrorism, Security, and Computation | xii | Englisch | 2021 | Springer | EAN 9783030606169 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[a…t]springer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer International Publishing, 2021
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 149,79
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies to shape Boko Har…am's behavior and reduce attacks by them. This book also identifies conditions that predict sexual violence, suicide bombings and attempted bombings, abduction, arson, looting, and targeting of government officials and security installations.After reducing Boko Haram's history to a spreadsheet containing monthly information about different types of attacks and different circumstances prevailing over a 9 year period, this book introduces Temporal Probabilistic (TP) rules that can be automatically learned from data and are easy to explain to policy makers and security experts. This book additionally reports on over 1 year of forecasts made using the model in order to validate predictive accuracy. It also introduces a policy computation method to rein in Boko Haram's attacks.Applied machine learning researchers, machine learning experts and predictive modeling experts agree that this book is a valuable learning asset. Counter-terrorism experts, national and international security experts, public policy experts and Africa experts will also agree this book is a valuable learning tool.
Lingua: Inglese
Editore: Springer, 2021
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Dez 2021, 2021
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 149,79
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies t…o shape Boko Haram's behavior and reduce attacks by them. This book also identifies conditions that predict sexual violence, suicide bombings and attempted bombings, abduction, arson, looting, and targeting of government officials and security installations.After reducing Boko Haram's history to a spreadsheet containing monthly information about different types of attacks and different circumstances prevailing over a 9 year period, this book introduces Temporal Probabilistic (TP) rules that can be automatically learned from data and are easy to explain to policy makers and security experts. This book additionally reports on over 1 year of forecasts made using the model in order to validate predictive accuracy. It also introduces a policy computation method to rein in Boko Haram's attacks.Applied machine learning researchers, machine learning experts and predictive modeling experts agree that this book is a valuable learning asset. Counter-terrorism experts, national and international security experts, public policy experts and Africa experts will also agree this book is a valuable learning tool. 148 pp. Englisch.
A Machine Learning Based Model of Boko Haram (Terrorism, Security, and Computation)
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
Lingua: Inglese
Editore: Springer, 2021
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 203,01
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Springer, Springer Dez 2021, 2021
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- Print on Demand
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 149,79
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This is the first study of Boko Haram that brings advanced data-driven, machine learning models to both learn models capable of predicting a wide range of attacks carried out by Boko Haram, as well as develop data-driven policies to sh…ape Boko Haram's behavior and reduce attacks by them. This book also identifies conditions that predict sexual violence, suicide bombings and attempted bombings, abduction, arson, looting, and targeting of government officials and security installations.After reducing Boko Haram's history to a spreadsheet containing monthly information about different types of attacks and different circumstances prevailing over a 9 year period, this book introduces Temporal Probabilistic (TP) rules that can be automatically learned from data and are easy to explain to policy makers and security experts. This book additionally reports on over 1 year of forecasts made using the model in order to validate predictive accuracy. It also introduces a policy computation method to rein in Boko Haram's attacks.Applied machine learning researchers, machine learning experts and predictive modeling experts agree that this book is a valuable learning asset. Counter-terrorism experts, national and international security experts, public policy experts and Africa experts will also agree this book is a valuable learning tool.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 148 pp. Englisch.
A Machine Learning Based Model of Boko Haram (Terrorism, Security, and Computation)
Subrahmanian, V. S.; Pulice, Chiara; Brown, James F.; Bonen-Clark, Jacob
Lingua: Inglese
Editore: Springer, 2021
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 209,92
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Condizione: New. PRINT ON DEMAND.
